ZipRecruiter

Log In

1

Algorithmic Execution Quant Jobs in Sunnyvale, CA

next page

Showing results 1-20

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Sunnyvale, CA

Algorithmic Execution Quant information

See Sunnyvale, CA salary details

$61.6K

$139.9K

$230.6K

How much do algorithmic execution quant jobs pay per year?

As of Aug 26, 2026, the average yearly pay for algorithmic execution quant in Sunnyvale, CA is $139,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $179,000.00 per year, depending on experience, location, and employer.

What does an algorithmic execution quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.

What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What job categories do people searching Algorithmic Execution Quant jobs in Sunnyvale, CA look for?

The top searched job categories for Algorithmic Execution Quant jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Algorithmic Execution Quant jobs?

Cities near Sunnyvale, CA with the most Algorithmic Execution Quant job openings:

Algorithmic Execution Quant jobs near you

Dewiz - Quantitative Researcher

De Circle

San Francisco, CA • On-site, Remote

Full-time

Posted 21 days ago

Job description

Dewiz is one of the core engineering teams within the Sky Ecosystem, building the infrastructure that powers one of DeFi's largest and most established protocols. The team works across protocol engineering, smart contracts, trading systems, and market infrastructure, developing products that process billions of dollars in on-chain liquidity while advancing the next generation of decentralized finance.
As the ecosystem continues to expand, we're looking for a Quantitative Researcher to help design the models and strategies that optimize execution, inventory management, and capital efficiency across both centralized and decentralized markets.
The Role
You'll work at the intersection of quantitative research, market microstructure, algorithmic trading, and DeFi, building models that directly influence how capital is allocated, liquidity is priced, and trades are executed.
Your research will improve execution quality, unlock new revenue opportunities, reduce risk, and shape the design of next-generation trading and liquidity infrastructure.
  • Strong background in Quantitative Research, Applied Mathematics, Statistics, Physics, Computer Science, Economics, or a related discipline.
  • Experience developing quantitative models for trading, market making, optimization, or financial markets.
  • Strong programming skills in Python, Rust, C++, or a similar language.
  • Solid understanding of probability, statistics, optimization, and market microstructure.
  • Curiosity about DeFi, digital assets, and decentralized market design.

Experience with market making, algorithmic trading, blockchain protocols, or MEV is a strong advantage, but not required.

Apply